How we can define the number of expansion of first input by using trigonometric functional link artificial neural network?

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coqui 2016-1-15

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评论： Greg Heath 2016-1-25

In trigonometric functional link artificial neural network, each input sample is expanded to N sine terms, N cosine terms plus the sample itself. How we can define N ?

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Greg Heath 2016-1-16

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From Fourier Series

 N = T/dt
 T = length of sample
 dt = sampling time

Hope this helps.

Thank you for formally accepting my answer

Greg

I need to predict one day ahead by using functional link artificial neural network with hyperbolic tangent transfer function in output layer. what about the use of three expansion of first input Y1, i.e. are y1=Y1, y2=cos(πY1), y3=sin(πY1)???